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Feature Engineering Course

Feature Engineering Course
flexible workload from 4 to 360h
valid certificate in your country

What will I learn?

This Feature Engineering Course teaches you how to transform raw pump sensor data into strong predictive features. You will learn data validation, timestamp alignment, handling missing values, detecting outliers, and creating pipelines that prevent leakage. Build time-based, aggregated, and categorical features, apply encoding, selection, and dimensionality reduction, and perform practical diagnostics to boost 7-day failure prediction performance quickly and reliably.

Elevify advantages

Develop skills

  • Time-series features: build rolling, trend, and seasonal signals for failures.
  • Categorical encodings: apply one-hot, target, and frequency schemes correctly.
  • Sensor data prep: clean, align, and resample noisy pump telemetry fast.
  • Leakage-safe pipelines: design time-aware CV, imputation, and feature logic.
  • Feature validation: use SHAP, MI, and drift checks to keep models reliable.

Suggested summary

Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.
Workload: between 4 and 360 hours

What our students say

Your classes are perfect. I got the one-year package and finally have the chance to follow several topics I'm interested in without having to switch platforms... I appreciate everything you do, I've already recommended you to others...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can switch chapters and skip content I don't need.
Mariana Ferres
Mariana FerresPhotography Student
I like the content and the way the videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast and easy to use. The variety of content and the extra videos really help with learning.
Giulio Carlo
Giulio CarloPrompt Engineering Student

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